Chris Bail
Duke University
link to this presentation: https://cbail.github.io/IAS_Talk.html
website: https://www.chrisbail.net
twitter: https://twitter.com/chris_bail
github: https://github.com/cbail
data: https://dataverse.harvard.edu/dataverse/chris_bail
Where \( \theta \) is the standard deviation of the membership matrix of organization \( i \)'s posts in the thirty-nine topic categories during the previous week and \( \mu \) is the mean score of the posts across all topic areas during the same time period.
Modified Djikstra Algorithm for weighted networks:
Cultural Betweenness of each organization (i) by day (t):
See Bail, Christopher A. 2016. “Combining Network Analysis and Natural Language Processing to Examine how Ad-vocacy Organizations Stimulate Conversation on Social Media.Proceedings of the National Academy of Sciences 113(42): 11823-11828 and the texnets package in R.
Webpage for package (with tutorial) http://github.com/cbail/textnets
Where E is the amount of emotional language of organization i at time t and C is the amount of rational language or organization i at time t.
Link for 2020 event
Email: christopher.bail@duke.edu
Website: www.chrisbail.net
GitHub: github.com/cbail
Twitter: www.twitter.com/chris_bail